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Advanced Pavement Materials in Road Construction
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Advanced Pavement Materials in Road Construction

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Materials Science and Engineering".

Deadline for manuscript submissions: 20 September 2024 | Viewed by 2630

Special Issue Editors

Dr. Iran Rocha Segundo

E-Mail Website
Guest Editor
Centre of Physics of Minho and Porto, Universities (CF-UM-UP), Azurém Campus, University of Minho, 4800-058 Guimarães, Portugal
Interests: asphalt mixtures; cement materials, road pavements; civil engineering materials; nanotechnology; functionalized nanoscale and nanostructured materials and surfaces; photocatalytic coatings; self-cleaning; superhydrophobic, thermochromic and phase change materials; air purifying
Special Issues, Collections and Topics in MDPI journals
Dr. Joaquim Carneiro

E-Mail Website
Guest Editor
Centre of Physics of Minho and Porto Universities, University of Minho, Azurém Campus, 4800-058 Guimarães, Portugal
Interests: material science; nanotechnology; thin films; functionalized nanoscale and nanostructured materials and surfaces; photocatalytic coatings (thin films, nanoparticles) with self-cleaning, antifogging, air-purifying, and antibacterial functions; advanced characterization techniques
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, entitled “Advanced Pavement Materials in Road Construction", aims to publish theoretical and experimental studies and reviews related to the advances in pavements materials for road construction.

Nowadays, different types of recycled materials are being used to design more sustainable asphalt mixtures, such as steel slags, reclaimed asphalt pavement (RAP), construction and demolition waste, waste glass, tire rubber and polymers. Researchers are also concerned with using life cycle analysis (LCA) to analyze the sustainable impact of different types of technologies and (recycled) materials over their lifetimes. In terms of evaluating these pavements, accelerated pavement testing, as well as instrumentation and monitoring with non-destructive techniques, have received increasing attention in recent years. The numerical modeling of materials and pavement structures is of paramount importance as it enables accurate prediction of performance and helps to optimize the design to enhance durability and cost-effectiveness. Regarding friction, studies of pavement roughness and friction measurements are essential for improving road safety. Nano/microparticles have been applied to road pavements in order to improve their mechanical properties or develop a new functionality (functionalization process). Perpetual pavements have significant importance as they are designed to provide extended service life with minimal maintenance, resulting in long-term cost savings and generating sustainable infrastructure solutions.

Thus, we invite researchers to contribute original innovative research works that will foster the continuous development of advanced concepts for the benefit, in the short and medium term, of the scientific community and industrial sectors, with potential impact on specific market niches and its end users. Articles dealing with, but not limited to, the following topical subheadings are deemed suitable for publication:

  • Use of nano/microparticles into/over asphalt and cementitious materials;
  • Nanomodification of asphalt binders;
  • Photocatalytic and Self-cleaning asphalt mixtures, cement mortars and concretes;
  • Life cycle analysis (LCA) in road pavements;
  • Instrumentation and monitoring of road pavements;
  • Accelerated pavement testing;
  • Pavement roughness and friction measurements;
  • Recycling (new technologies, experiences, design with waste, waste glass, tire rubber and polymers, among others);
  • Perpetual pavements;
  • Numerical modeling of pavement structures;
  • Non-destructive techniques to assess pavement properties;
  • Self-healing asphalt mixtures, cement mortars and concretes;
  • De-icing and anti-icing pavements;
  • Water-repellent road materials surfaces (including superhydrophobic surfaces);
  • Latent heat thermal energy storage including phase change material (PCM) applications on road pavement materials;
  • Chromogenic (including thermochromic) materials to road components (including horizontal and vertical markings);
  • Piezoelectric materials applied to road pavements;
  • Sensor application of road pavements.

All researchers in this field are invited to submit a manuscript to this Special Issue. Submissions should be the form of research papers, communications, reviews, among others.

Dr. Iran Rocha Segundo
Prof. Dr. Joaquim Carneiro
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • recycled materials
  • sustainable asphalt mixtures
  • life cycle analysis (LCA)
  • accelerated pavement testing
  • instrumentation and monitoring
  • numerical modeling
  • friction measurements
  • nano/microparticles in road pavements
  • perpetual pavements
  • self-healing materials

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Further information on MDPI's Special Issue polices can be found here.

Published Papers (3 papers)

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Research

27 pages, 8333 KiB  
Article
Modelling of the Luminance Coefficient in the Light Scattered by a Mineral Mixture Using Machine Learning Techniques
by Grzegorz Mazurek, Paulina Bąk-Patyna and Małgorzata Ludwikowska-Kędzia
Appl. Sci. 2024, 14(13), 5458; https://doi.org/10.3390/app14135458 - 24 Jun 2024
Viewed by 498
Abstract
The primary objective of the research and analysis reported in this article was to determine an effective method for predicting the luminance coefficient of the mineral mixture for asphalt concrete and stone mastic asphalt. The luminance of the mineral mixture determines the final [...] Read more.
The primary objective of the research and analysis reported in this article was to determine an effective method for predicting the luminance coefficient of the mineral mixture for asphalt concrete and stone mastic asphalt. The luminance of the mineral mixture determines the final luminance value of the surface. Predicting the luminance coefficient quickly will significantly improve the mineral–asphalt mix design efficiency in selecting aggregates that meet functional requirements and increase the brightness of the surface. The research process consisted of two stages. The first stage covered modelling the Qd luminance coefficient of aggregate, taking into account its petrographic analysis. The second fundamental stage, based on the research of the first stage, concerned the modelling of the luminance coefficient of the mineral mixture, taking into account the percentage share of a given component, its grain size, and its photometric properties. An effective technique of reinforced trees was used for modelling. As a result of its application, a model match to experimental data was achieved at the level of 87%. It has also been shown that the greatest impact on increasing the luminance coefficient of the mineral mixture was the use of light aggregate (quartzite sandstone or limestone) with a grain size of 2/5 in quantities > 40% or 8/11 in quantities > 60%. Furthermore, the quartzite sandstone aggregates with a grain size of 5/8 had the highest efficiency in lightening the mineral mixture. However, the use of basalt aggregates of the same fraction significantly worsened the photometric properties of the mineral mixture. An important element of the research was also to indicate that the mineralogical composition of the aggregate is crucial for an accurate assessment of its luminance coefficient. Full article
(This article belongs to the Special Issue Advanced Pavement Materials in Road Construction)
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14 pages, 12039 KiB  
Article
Analysis of the Load-Bearing Capacity of Pebble Aggregates
by Pan Liu, Peiyi Bai and Wenju Liu
Appl. Sci. 2024, 14(7), 3109; https://doi.org/10.3390/app14073109 - 8 Apr 2024
Cited by 1 | Viewed by 701
Abstract
The load-bearing capacity of pebble aggregates plays a pivotal role in influencing the operational performance of uncontrolled trucks on arrester beds. The complexity of this phenomenon stems from the nonuniformity in the shapes of the pebbles and their stochastic arrangement within the beds, [...] Read more.
The load-bearing capacity of pebble aggregates plays a pivotal role in influencing the operational performance of uncontrolled trucks on arrester beds. The complexity of this phenomenon stems from the nonuniformity in the shapes of the pebbles and their stochastic arrangement within the beds, presenting notable challenges for traditional mathematical modelling techniques in precisely evaluating the contact dynamics of these aggregates. This study leverages the discrete element method (DEM) to extensively analyse the arrester bed aggregate of a standard truck escape ramp. The aforementioned mechanism entails the gathering of morphological parameters of irregularly shaped aggregate particles and introduces a novel method for constructing random shapes that adhere to the observed distribution characteristics. A discrete element model, grounded in the physical properties of these aggregates, is formulated. This study focuses on the aggregate’s load-bearing capabilities, scrutinising the mechanical behaviour of the aggregate particles at the macroscopic and microscopic scales. These insights offer substantial scientific contributions and practical implications for assessing the safety of escape ramps and determining essential parameters for the brake bed design. Full article
(This article belongs to the Special Issue Advanced Pavement Materials in Road Construction)
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19 pages, 6840 KiB  
Article
Influence of the Surface Texture Parameters of Asphalt Pavement on Light Reflection Characteristics
by Peng Xu, Guoping Qian, Chao Zhang, Xiangdong Wang, Huanan Yu, Hongyu Zhou and Chen Zhao
Appl. Sci. 2023, 13(23), 12824; https://doi.org/10.3390/app132312824 - 29 Nov 2023
Cited by 1 | Viewed by 933
Abstract
The optical reflection characteristics of asphalt pavement have an important influence on road-lighting design, and the macrotexture and microtexture of asphalt pavement significantly affect its reflection characteristics. To investigate the impact of texture parameters on the retroreflection coefficient of asphalt pavement, the texture [...] Read more.
The optical reflection characteristics of asphalt pavement have an important influence on road-lighting design, and the macrotexture and microtexture of asphalt pavement significantly affect its reflection characteristics. To investigate the impact of texture parameters on the retroreflection coefficient of asphalt pavement, the texture indices of rutted plate specimens and field asphalt pavement were obtained by a pavement texture tester, including the macrotexture surface area (S1), microtexture surface area (S2), macrotexture distribution density (D1), microtexture distribution density (D2), root mean square slope (Δq), skewness (Rsk), and steepness (Rku). The corresponding retroreflective coefficient RL was measured by using a retroreflectometer. In the laboratory experiments, rutted specimens of AC-13, SMA-13, and OGFC-13 asphalt mixtures were formed. The changes in texture parameters and the retroreflection coefficient of rutting specimens before and after rolling were studied, and a factor-influence model between macro- and microtexture parameters and RL was established, along with correlation models of the texture index and RL. The results show that after the rutting test, S1, S2, D1, D2, Δq, and Rku decreased, Rsk increased, and RL increased. In the single-factor model, the parameters could be used to characterize RL with high prediction accuracy, whereas for the onsite measurements, the parameters Δq, Rsk, and Rku could well characterize RL. The nonlinear model established, based on the BP neural network algorithm, improved the prediction accuracy. This research provides ideas for optimizing the reflection characteristics of asphalt pavement and a decision-making basis for road-lighting design. Full article
(This article belongs to the Special Issue Advanced Pavement Materials in Road Construction)
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